Abstract
Search is the most basic and fundamental operation of computers. It plays a vital role in areas like artificial intelligence, machine learning, deep learning, and a variety of applications. We examine the role of search in several related topics in this chapter.
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Nilsson NJ (1998) Artificial intelligence: a new synthesis. Morgan Kaufmann
Hastie T, Tibshirani R, Friedman J (2001) The elements of statistical learning. Springer, New York
Knuth DE (1998) The art of computer programming: sorting and searching, vol 3. Addison-Wesley
Manning CD, Schütze H, Raghavan P (2009) An introduction to information retrieval. Cambridge University Press
Nandanwar S, Moroney A, Murty MN (2018) Fusing diversity in recommendations in heterogeneous information networks. In: Proceedings of WSDM, 5–9 Feb 2018. Los Angeles, California, USA
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Murty, M.N., Biswas, A. (2019). Searching. In: Centrality and Diversity in Search. SpringerBriefs in Intelligent Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-24713-3_2
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DOI: https://doi.org/10.1007/978-3-030-24713-3_2
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